13 citations · 26 across the 5 of their papers we have counts for
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cs.SE2023
Automatic and Efficient Customization of Neural Networks for ML Applications
Yuhan Liu, Chengcheng Wan, Kuntai Du +4
ML APIs have greatly relieved application developers of the burden to design and train their own neural network models -- classifying objects in an image can now be as simple as on…
cs.SE2023★ 1 cited
Self-Supervised Query Reformulation for Code Search
Yuetian Mao, Chengcheng Wan, Yuze Jiang +1
Automatic query reformulation is a widely utilized technology for enriching user requirements and enhancing the outcomes of code search. It can be conceptualized as a machine trans…